Awesome-Low-Rank-Adaptation
☆135Oct 13, 2024Updated last year
Alternatives and similar repositories for Awesome-Low-Rank-Adaptation
Users that are interested in Awesome-Low-Rank-Adaptation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Awesome Low-Rank Adaptation☆61Apr 20, 2026Updated 4 months ago
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆242Dec 3, 2024Updated last year
- [ICLR'25] Code for KaSA, an official implementation of "KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models"☆22Jan 16, 2025Updated last year
- ☆126Jul 6, 2024Updated 2 years ago
- ☆179Jul 22, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆85Mar 25, 2025Updated last year
- ☆28Jun 9, 2024Updated 2 years ago
- AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).☆394Jun 1, 2023Updated 3 years ago
- ☆13Apr 27, 2024Updated 2 years ago
- ☆278Aug 12, 2024Updated 2 years ago
- ☆17May 2, 2024Updated 2 years ago
- (ICML 2024) PyTorch implementation of "Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes"☆16Oct 15, 2024Updated last year
- [NeurIPS 2024] VeLoRA : Memory Efficient Training using Rank-1 Sub-Token Projections☆22Oct 15, 2024Updated last year
- [EMNLP 25] An effective and interpretable weight-editing method for mitigating overly short reasoning in LLMs, and a mechanistic study un…☆19Dec 17, 2025Updated 8 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Auto-Prox-AAAI24☆14Apr 30, 2024Updated 2 years ago
- [ICML2024] DetKDS: Knowledge Distillation Search for Object Detectors☆19Jul 11, 2024Updated 2 years ago
- [ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation☆989Mar 24, 2026Updated 4 months ago
- ☆23Aug 28, 2023Updated 2 years ago
- Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".☆16Jan 20, 2022Updated 4 years ago
- [ACL'26] Official Code for "ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinfo…☆23Apr 24, 2026Updated 3 months ago
- TF-FD☆21Nov 19, 2022Updated 3 years ago
- Offical Code for Paper "Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation"☆17Jan 19, 2022Updated 4 years ago
- [NeurIPS 2025] Speculate Deep and Accurate☆23Aug 10, 2026Updated last week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [ACL 2024 Findings] Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning☆13Sep 2, 2024Updated last year
- PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)☆429Jun 30, 2025Updated last year
- ☆24Jun 13, 2024Updated 2 years ago
- NeurIPS-2025☆21Nov 4, 2025Updated 9 months ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆161Jan 21, 2026Updated 7 months ago
- ☆218Nov 25, 2025Updated 8 months ago
- VAE+GAN☆10Apr 18, 2018Updated 8 years ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆33Jul 21, 2023Updated 3 years ago
- A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models☆14Jul 15, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Parameter-Efficient Fine-Tuning for Foundation Models☆112Mar 31, 2025Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆114Mar 13, 2025Updated last year
- ☆13Apr 13, 2026Updated 4 months ago
- [ACL 2025] Official code for ''Learning to Reason from Feedback at Test-Time''.☆13May 16, 2025Updated last year
- Dual convolutional neural network with attention for image blind denoising (Multimedia Systems, 2024)☆15Oct 25, 2024Updated last year
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Jan 3, 2022Updated 4 years ago
- ☆28Nov 29, 2023Updated 2 years ago